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Quantitation of Underivatized Omega-3 and Omega-6 Fatty ... - Dionex

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<strong>Quantitation</strong> <strong>of</strong> <strong>Underivatized</strong> <strong>Omega</strong>-3 <strong>and</strong> <strong>Omega</strong>-6 <strong>Fatty</strong> Acids in Foods<br />

by HPLC <strong>and</strong> Charged Aerosol Detection<br />

Ian Acworth, Marc Plante, Bruce Bailey, <strong>and</strong> Christopher Crafts<br />

Thermo Fisher Scientific, Chelmsford, MA, USA<br />

Abstract<br />

The omega fatty acids are a group <strong>of</strong> compounds that<br />

include essential n-3 (omega-3, e.g., a-linolenic acid<br />

[ALA]), n-6 (omega-6, e.g., linoleic <strong>and</strong> arachidonic acids),<br />

<strong>and</strong> nonessential n-9, (omega-9, e.g., oleic<br />

<strong>and</strong> erucic acids) analytes. The omega-3 fatty acids,<br />

which also include eicosapentanoic acid (EPA) <strong>and</strong><br />

docosahexanoic acid (DHA), are required for normal<br />

growth. Their consumption is purported to have a<br />

number <strong>of</strong> health benefits: e.g., cancer prevention,<br />

cardiovascular disease prevention, <strong>and</strong> improved immune<br />

function. Although both omega-3 <strong>and</strong> -6 fatty acids can<br />

give rise to eicosanoid-signaling molecules<br />

(prostagl<strong>and</strong>ins, prostacyclins, thromboxanes, <strong>and</strong><br />

leukotrienes), the omega-6 eicosanoids are generally<br />

pro-inflammatory <strong>and</strong> may play a role in cardiovascular<br />

disease, high blood pressure, <strong>and</strong> arthritis. It appears<br />

that the amounts <strong>and</strong> balance <strong>of</strong> omega fatty acids in a<br />

person’s diet affect their eicosanoid-controlled functions.<br />

A proper balance <strong>of</strong> omega fatty acids in the diet<br />

is important.<br />

Traditionally, omega fatty acids are measured using<br />

gas chromatography (GC). For foods, analytes are<br />

extracted from the samples prior to hydrolysis to release<br />

the fatty acids from their triglycerides, then converted<br />

to their volatile methyl esters prior to analysis by GC.<br />

This approach is tedious, time-consuming, <strong>and</strong> the<br />

high temperatures can affect polyunsaturated fatty<br />

acid stability. The Thermo Scientific <strong>Dionex</strong> Corona<br />

charged aerosol detector provides a univeral massbased<br />

approach that is sensitive, has a wide dynamic<br />

range, <strong>and</strong> has a major advantage in that all nonvolative<br />

analytes give similar response independent <strong>of</strong><br />

chemical structure. No derivatization is required, <strong>and</strong><br />

unlike UV detection, the analyte does not need to contain<br />

a chromophore. Presented here is a simple <strong>and</strong> direct<br />

high-performance liquid chromatography <strong>and</strong> charged<br />

aerosol detection (HPLC-charged-aerosol-detector)<br />

method that can be used to measure omega-3, -6 <strong>and</strong> -9<br />

fatty acids in traditional <strong>and</strong> commercially produced meat,<br />

fish, <strong>and</strong> oils, as well as over-the-counter supplements.<br />

Introduction<br />

The common determination <strong>of</strong> omega lipids in foods<br />

comprises several steps, including extraction, hydroysis,<br />

<strong>and</strong> derivitization for measurement by GC. GC works<br />

well as a st<strong>and</strong>ard analytical tool for these determinations<br />

but requires alteration <strong>of</strong> the sample, <strong>and</strong> it can also<br />

adversely affect temperature-sensitive functional<br />

groups on specialized lipids. HPLC with ultraviolet<br />

detection requires use <strong>of</strong> low wavelengths, which limits<br />

solvent selection <strong>and</strong> increases the likelihood <strong>of</strong><br />

matrix interference.<br />

Shown here is a reversed-phase HPLC method for the<br />

determination <strong>of</strong> omega fatty acids in oil/food samples<br />

using a dual-gradient method <strong>and</strong> charged aerosol<br />

detection. This combination enables determination <strong>of</strong><br />

many fatty acids in a single analysis, <strong>and</strong> without the<br />

sample derivatization that is required for GC analysis.<br />

Several fatty acids were analyzed, including six omega-3<br />

fatty acids (stearidonic acid [SDA], eicosapentanoic<br />

acid [EPA], a-linolenic acid [ALA], docosahexanoic acid<br />

[DHA], docosapentanoic acid [DPA], eicosatrienoic acid<br />

[ETA]), five omega-6 fatty acids (γ-linolenic acid [GLA],<br />

arachidonic acid [Arach.], linoleic acid [LLA], adrenic<br />

acid, <strong>and</strong> eicosadienioic acid [EDA]), <strong>and</strong> two omega-9<br />

fatty acids (oleic <strong>and</strong> erucic acids). An omega-7 fatty<br />

acid, 9E,14Z-conjugated linoleic acid (CLA), was also<br />

included due to its cited importance as a nutrient. 1,2<br />

Charged aerosol detection is mass sensitive <strong>and</strong> can be<br />

added to HPLC or ultra HPLC (UHPLC) platforms. The<br />

detector provides the most consistent response for all<br />

nonvolatile <strong>and</strong> some semivolatile analytes <strong>of</strong> all HPLC<br />

detection techniques. 3 It works by charging particles as<br />

shown in Figure 1, <strong>and</strong> is not dependent on light<br />

scattering, which has large variability <strong>and</strong> generally<br />

lower sensitivity.<br />

Charged aerosol detection has been successfully used<br />

to characterize lipids <strong>of</strong> all classification, 4 including<br />

phospholipids (reversed phase5 <strong>and</strong> normal phase6,7 ),<br />

acylglycerides, phytosterols, free fatty acids, <strong>and</strong> free fatty<br />

alcohols. This method complements the free fatty acids<br />

method, using higher specificity for these analytes <strong>and</strong> a<br />

Thermo Scientific Acclaim C30 reversed-phase column.


FIGURE 1. Schematic <strong>of</strong> the Corona charged aerosol<br />

detector flow paths.<br />

Method<br />

Experimental Conditions<br />

HPLC System: Thermo Scientific <strong>Dionex</strong><br />

UltiMate 3000 RSLC Dual Gradient<br />

Mobile Phase A: Water/formic acid/mobile phase B<br />

(900:3.6:100)<br />

Mobile Phase B: Acetone/acetonitrile/tetrahydr<strong>of</strong>uran/<br />

formic acid (675:225:100:4)<br />

Column: Acclaim C30, 250 × 3 mm, 3 µm<br />

Column Temp.: 30 °C<br />

Flow Rate, Eluent<br />

Gradient Pump: 1 mL/min<br />

1<br />

2<br />

4<br />

Flow Rate, Inverse<br />

Gradient Pump: 1 mL/min<br />

Eluent Gradient Pump Inverse Gradient Pump<br />

Time (min) % B Time (min) % B<br />

0.00 0.0 0.00 100.0<br />

1.00 60.0 1.10 100.0<br />

13.00 70.0 2.10 40.0<br />

22.00 95.0 14.10 30.0<br />

24.00 95.0 23.10 5.0<br />

24.00 0.0 25.10 5.0<br />

29.00 0.0 25.10 100.0<br />

30.10 100.0<br />

3<br />

8<br />

6<br />

5<br />

7<br />

1. Liquid eluent enters from the HPLC system<br />

2. Pneumatic nebulization occurs<br />

3. Small droplets enter the drying tube<br />

4. Large drops exit to drain<br />

5. Dried particles enter the mixing chamber<br />

6. Gas stream passes over corona needle<br />

7. Charged gas collides with particles <strong>and</strong> transfers charge<br />

8. High mobility species are removed<br />

9. Remaining charged particles measured with a very sensitive electrometer<br />

10. Signal is transferred to chromatographic data s<strong>of</strong>tware<br />

10<br />

9<br />

Injection Volume: 2.00 µL<br />

Detector: Corona ultra RS charged<br />

aerosol detector<br />

Corona Filter: High<br />

Corona Nebulizer Temp.: 15 °C<br />

Total Run Time: 30.1 min<br />

The system is configured so that the analytical pump<br />

provides the eluent through the column, <strong>and</strong> the second<br />

pump adds the solvents in a manner that is inverse <strong>of</strong><br />

the column gradient. In this manner, the composition <strong>of</strong><br />

the eluent entering the charged aerosol detector is<br />

maintained at a constant percent organic to minimize<br />

changes between relative response factors <strong>of</strong> the different<br />

analytes. It was determined that the void time for the<br />

analytical stream was 1.10 minutes greater than that for<br />

the inverse-gradient stream, <strong>and</strong> this time was added<br />

to the inverse-gradient pump program, as shown in the<br />

table above. This configuration reduces the relative<br />

response differences between analytes caused by the<br />

changing percent organic in the column eluent.<br />

St<strong>and</strong>ard Preparation<br />

All st<strong>and</strong>ards were dissolved <strong>and</strong> diluted to 2500 µg/mL<br />

in alcohol, <strong>and</strong> diluted serially to a concentration <strong>of</strong><br />

6.25 µg/mL.<br />

Sample Preparation<br />

All solid fat samples (50–100 mg) were extracted in<br />

1.2 mL methanol/chlor<strong>of</strong>orm (1:1) for 15 min using vortex<br />

mixing. Extracts were then centrifuged to remove solids,<br />

<strong>and</strong> 1.0 mL <strong>of</strong> extract was added to 4 mL <strong>of</strong> isopropanol/<br />

water (3:2) <strong>and</strong> 1 mL <strong>of</strong> 5 M KOH.<br />

All liquid oil samples (50 µL aliquot) were dissolved/<br />

dispersed in 5 mL isopropanol/water (3:2) <strong>and</strong> 1 mL <strong>of</strong><br />

5 M KOH.<br />

All samples were heated in an 80 °C water bath for 1 h<br />

with occasional stirring. After samples were cooled, a<br />

500 µL aliquot was removed <strong>and</strong> 25 µL <strong>of</strong> formic acid<br />

was added to neutralize the sample.<br />

Results <strong>and</strong> Discussion<br />

A chromatogram <strong>of</strong> the 14 st<strong>and</strong>ards (2500 ng on<br />

column [o.c.]) is shown in Figure 2.<br />

2 <strong>Quantitation</strong> <strong>of</strong> <strong>Underivatized</strong> <strong>Omega</strong>-3 <strong>and</strong> <strong>Omega</strong>-6 <strong>Fatty</strong> Acids in Foods<br />

26802


FIGURE 2. HPLC chromatogram <strong>of</strong> 14 omega-free<br />

fatty acids.<br />

50<br />

pA<br />

Peaks: 1. Stearadonic Acid 8. Docosapentanoic acid<br />

2. Eicosapentanoic acid 9. 9E, 14Z- conjugated linoleic acid<br />

3. α-Linolenic acid 10. Eicosatrienoic acid<br />

4. γ-Linoleic acid 11. Adrenic acid<br />

5. Docosahexanoic acid 12. Oleic acid<br />

6. Arachidonic acid 13. Eicosadienoic acid<br />

7. Linoleic acid 14. Erucic acid<br />

1<br />

2<br />

3<br />

4<br />

5<br />

8<br />

6 7<br />

-5<br />

6.0 7.5 8.8 10.0 11.3 12.5 13.8 15.0 16.3 17.5 18.8 20.0 21.3 23.0<br />

Peak retention times in min were found to be: SDA 11.8,<br />

EPA 13.7, ALA 14.0, GLA 14.4, DHA 15.8, Arach. 16.4,<br />

LLA 16.7, DPA 17.0, CLA 17.2, ETA 17.9, adrenic 18.9,<br />

oleic 19.2, EDA 19.7, <strong>and</strong> erucic 23.1 minutes.<br />

Use <strong>of</strong> the inverse gradient improved the consistency<br />

<strong>of</strong> response across the analytes. The relative spread<br />

<strong>of</strong> responses between the inverse-gradient method,<br />

<strong>and</strong> the gradient-only method decreased by 42%,<br />

calculated by ([inverse-gradient max–min] – [gradient-only<br />

max–min]/[gradient-only max–min]). This indicates that the<br />

use <strong>of</strong> the inverse gradient can provide a benefit to<br />

quantitation when unknown peaks are present in a<br />

sample chromatogram, providing for improved<br />

quantitation estimates.<br />

It was later discovered that a few <strong>of</strong> the omega fatty acid<br />

st<strong>and</strong>ard materials had degraded during the course <strong>of</strong><br />

developing this method. This is the likely cause <strong>of</strong> the<br />

wide range <strong>of</strong> responses seen in the calibration curves,<br />

shown in Figures 3 <strong>and</strong> 4. In using a fresh st<strong>and</strong>ard for<br />

DHA, the response was found to be similar to that <strong>of</strong> ALA.<br />

The use <strong>of</strong> 10 mg/L <strong>of</strong> butylated hydroxyanisole (BHA)<br />

in the st<strong>and</strong>ard <strong>and</strong> sample solutions may preserve the<br />

dissolved analytes for a longer period <strong>of</strong> time without<br />

affecting the chromatography.<br />

Calibration curves, using the inverse gradient conditions<br />

data, were fit using inverted second-order polynomials<br />

resulting in correlation coefficients, r2 >0.9995. Triplicate<br />

analyses provided peak area reproducibility with an RSD<br />


Table 1. LOD <strong>and</strong> LOQ Values for<br />

<strong>Omega</strong>-Free <strong>Fatty</strong> Acids by HPLC<br />

Analyte LOD (ng o.c.) LOQ (ng o.c.)<br />

SDA 9.7 32.5<br />

EPA 11.5 38.5<br />

ALA 13.2 43.9<br />

GLA 13.4 44.6<br />

DHA* 15.0 45.0<br />

Arach. 21.4 71.4<br />

LLA 10.4 34.7<br />

DPA 8.4 28.1<br />

CLA 10.6 35.2<br />

ETA 5.5 18.2<br />

Adrenic 10.1 33.8<br />

Oleic 4.9 16.3<br />

EDA 11.7 39.1<br />

Erucic 7.9 26.3<br />

* Many <strong>of</strong> the LOD <strong>and</strong> LOQ values found in Table 1 may actually be<br />

lower than reported, due to st<strong>and</strong>ard degradation. Typical LOD values<br />

for charged aerosol detection are 1–10 ng on column.<br />

Several oils <strong>and</strong> fats were processed <strong>and</strong> analyzed.<br />

In the initial oil hydrolyzation experiments, a solution<br />

<strong>of</strong> ethanol/water (3:2) was used. It was found that the<br />

oils did not hydrolyze well in this solution. With an<br />

exchange <strong>of</strong> isopropanol for the ethanol, it was identified<br />

that the isopropanol provided a greater yield <strong>of</strong> free fatty<br />

acids, <strong>and</strong> this solution was used for the hydrolyzation <strong>of</strong><br />

the samples.<br />

A chromatogram <strong>of</strong> hydrolyzed mustard oil is shown<br />

in Figure 5. This oil sample was found to contain a<br />

composition that is consistent with literature values8,9 shown in brackets: 51% erucic [41–50%], 11% oleic<br />

[8–15%], 21% linoleic [13–20%], <strong>and</strong> 13%<br />

a-linolenic acids.<br />

FIGURE 5. HPLC chromatogram <strong>of</strong> hydrolyzed mustard oil<br />

using a C30 150 × 4.5 mm, 5 µm column..<br />

148<br />

pA<br />

Peaks: 1. α-Linolenic acid<br />

5. Linoleic acid<br />

6. Eicosatrienoic acid<br />

8. Adrenic acid<br />

9. Oleic acid<br />

10. Eicosadienoic acid<br />

15. Erucic acid<br />

Other peaks are unidentified<br />

1<br />

23 4<br />

5<br />

6 7<br />

0<br />

12.9 14 15 16 17 18 19 20 21 22 23 24.1<br />

Minutes<br />

28111<br />

8<br />

9<br />

10 11<br />

12 13<br />

14 16<br />

4 <strong>Quantitation</strong> <strong>of</strong> <strong>Underivatized</strong> <strong>Omega</strong>-3 <strong>and</strong> <strong>Omega</strong>-6 <strong>Fatty</strong> Acids in Foods<br />

15<br />

A hydrolyzed fish oil-based, commercially available supplement<br />

is shown in Figure 6. A large number <strong>of</strong> other<br />

free fatty acids may also be present with 24 unidentified<br />

peaks, in addition to the 14 evaluated in this study.<br />

FIGURE 6. HPLC chromatogram <strong>of</strong> 20 µL hydrolyzed fish<br />

oil with addition <strong>of</strong> 200 µL isopropanol to aid in solubility. A<br />

total <strong>of</strong> 38 peaks were detected including all 14 st<strong>and</strong>ards.<br />

Peaks:<br />

4. Stearadonic Acid<br />

8. Eicosapentanoic acid<br />

9. α-Linolenic acid<br />

10. γ-Linoleic acid<br />

14. Docosahexanoic acid<br />

100<br />

15. Arachidonic acid<br />

17. Linoleic acid<br />

18. Docosapentanoic acid<br />

19. 9E, 14Z- conjugated<br />

linoleic acid<br />

22. Eicosatrienoic acid<br />

15. Adrenic acid<br />

27. Oleic acid<br />

30. Eicosadienoic acid<br />

36. Erucic acid<br />

pA<br />

8<br />

1 2 3<br />

6<br />

4<br />

5 7<br />

26<br />

14<br />

9<br />

25 27<br />

11<br />

32<br />

16 19<br />

29<br />

13<br />

23<br />

1718<br />

30 33<br />

10 12 15<br />

20 22 28<br />

31<br />

35<br />

21 24 34<br />

37<br />

36 38<br />

-5<br />

6.0 7.5 8.8 10.0 11.3 12.5 13.8 15.0 16.3 17.5 18.8 20.0 21.3 23.0<br />

Minutes<br />

28112-01<br />

Twelve additional samples were hydrolyzed in a similar<br />

manner <strong>and</strong> the results are shown in Table 2 <strong>and</strong> presented<br />

based on the ratio <strong>of</strong> omega-3 to omega-6 ratio (highest<br />

to lowest). Fish oil had the highest ratio, explaining its<br />

use as an omega-3 oil supplement. Grass-fed beef was<br />

determined to have a ratio <strong>of</strong> approximately 1, close<br />

to literature values 0.3–0.7. 10 Interestingly, pasture-fed<br />

chicken was determined to have a ratio <strong>of</strong> approximately<br />

0.62, significantly different than the commercial chicken<br />

omega fats ratio <strong>of</strong> approximately 0.05. 11


Table 2. Percent Compositions <strong>of</strong> HPLC<br />

Analysis <strong>of</strong> Hydrolyzed Samples<br />

Sample<br />

<strong>Omega</strong>-3<br />

(%)<br />

<strong>Omega</strong>-6<br />

(%)<br />

<strong>Omega</strong>-9<br />

(%)<br />

3:6<br />

Ratio<br />

Fish Oil 92.0 3.2 4.5 29.0<br />

Fish, Flax,<br />

Borage<br />

Supplement<br />

81.0 13.0 5.9 6.1<br />

Flax Oil 59.0 22.0 19.0 2.7<br />

Beef, Grass-fed 23.0 24.0 52.0 0.95<br />

Avocado Oil 15.0 22.0 64.0 0.68<br />

Chicken, Pastured<br />

25.0 40.0 35.0 0.62<br />

Mustard Oil 14.0 23.0 63.0 0.62<br />

Canola Oil 13.2 33.2 53.6 0.39<br />

Olive Oil 4.8 13.0 82.0 0.37<br />

Walnut Oil 12.0 75.0 13.0 0.16<br />

Castor Oil 4.2 62.0 34.0 0.067<br />

Safflower Oil 0.71 17.0 82.0 0.041<br />

Sesame Oil 1.5 61.0 38.0 0.024<br />

Corn Oil 1.6 72.0 26.0 0.022<br />

Castor oil was tested to evaluate the method’s performance<br />

with other oils. A chromatogram for hydrolyzed castor oil<br />

is shown in Figure 7. Here, a single fatty acid, ricinoleate,<br />

was found to have 83 area percent (uncalibrated) <strong>of</strong><br />

the fatty acids, which is similar to the reference value <strong>of</strong><br />

90%. 12 Ricinoleate, which contains a unique 12-hydroxy<br />

group, elutes earlier than the other free fatty acids<br />

quantified in this method.<br />

FIGURE 7. HPLC chromatogram <strong>of</strong> hydrolyzed castor oil<br />

with ricinoleate-free fatty acid at 8.545 min.<br />

160<br />

pA<br />

1 2<br />

-20<br />

6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23<br />

Minutes<br />

28113<br />

Conclusions<br />

3<br />

Peaks: 3. Rincinoleic acid<br />

7. Linolenic acid<br />

8. Linoleic acid<br />

9. Adrenic acid<br />

10. Oleic acid<br />

11. Eicosadienoic acid<br />

Other peaks are unidentified<br />

4 5 6 7<br />

8<br />

9 10 11 1213 14<br />

Using this method, it is possible to obtain quantitative<br />

analyses <strong>of</strong> different omega-free fatty acids, including<br />

omega-3, -6, -7, <strong>and</strong> -9. Samples were hydrolyzed to<br />

separate the fatty acids from their glycerol backbone<br />

<strong>and</strong> analyzed directly using HPLC with charged aerosol<br />

detection. A wide variety <strong>of</strong> samples were analyzed,<br />

including animal- <strong>and</strong> plant-based oils, over-the-counter<br />

supplements, <strong>and</strong> meat fats. The mobile phase used<br />

here is compatible with mass spectrometry, which allows<br />

for the possibility <strong>of</strong> identifying unknown free fatty acids<br />

that may exist in a sample.<br />

5


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©2011 Thermo Fisher Scientific, Inc.<br />

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Irel<strong>and</strong> (353) 644 0064, Italy (39) 02 51 62 1267, Sweden (46) 8 473 3380,<br />

Switzerl<strong>and</strong> (41) 62 205 9966, United Kingdom (44) 1276 691722<br />

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Taiwan (886) 2 875 6655<br />

www.thermoscientific.com/dionex<br />

LPN 2931-02 01/12<br />

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by NP-HPLC-CAD, ESA—A <strong>Dionex</strong> Company<br />

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